Data Integration Engineer

Role - Data Integration Engineer | Location - Primary - Dallas | Secondary - Tampa Job Description Minimum 8 years of experience in Data Management| with strong expertise in analytical datawarehousing and enterprisescale data platforms| contributing to the delivery of complex datasolutions. Minimum 3 years of hands-on experience with Snowflake Cloud Data Warehouse| includinguse of advanced features and performance optimization for large| concurrent analytics workloads. Strong experience with AWS cloud architecture| designing and supporting scalable| secure| andcostefficient data solutions using core AWS services. Design| develop| and maintain complex SQL and PLSQL procedures to supporthighperformance data integration and transformation processes. Experience developing data integration solutions using Snowflake services such as Snowpark|Streams| Tasks| and Snowpipe to implement both realtime and batch data pipelines within anAWS ecosystem. Strong knowledge of logical and physical data modeling| enabling effective analytics|reporting| and business intelligence solutions. Hands-on experience developing dimensional data models| including slowly changingdimensions (SCDs) and multiple fact table designs| aligned with analytics best practices. Solid experience across data lifecycle management| including data lineage| profiling|mapping| integration| validation| cleansing| masking| subsetting| archiving| purging|virtualization| and metadata management. Implement and adhere to data quality and testing standards| supporting unit testing| systemintegration testing| and UAT| to ensure productionready data solutions. Perform SQL performance tuning| proactive monitoring| and root cause analysis of datapipeline and platform issues| driving timely and effective resolution. Actively participate in Agile delivery teams| contributing to sprint planning| story implementation|estimation| and documentation using Jira. Collaborate closely with peers| architects| and stakeholders| and provide guidance to juniorengineers through code reviews and knowledge sharing. Demonstrate strong verbal and written communication Essential Skills: Role - Data Integration Engineer | Location - Primary - Dallas | Secondary - Tampa Job Description Minimum 8 years of experience in Data Management| with strong expertise in analytical datawarehousing and enterprisescale data platforms| contributing to the delivery of complex datasolutions. Minimum 3 years of hands-on experience with Snowflake Cloud Data Warehouse| includinguse of advanced features and performance optimization for large| concurrent analytics workloads. Strong experience with AWS cloud architecture| designing and supporting scalable| secure| andcostefficient data solutions using core AWS services. Design| develop| and maintain complex SQL and PLSQL procedures to supporthighperformance data integration and transformation processes. Experience developing data integration solutions using Snowflake services such as Snowpark|Streams| Tasks| and Snowpipe to implement both realtime and batch data pipelines within anAWS ecosystem. Strong knowledge of logical and physical data modeling| enabling effective analytics|reporting| and business intelligence solutions. Hands-on experience developing dimensional data models| including slowly changingdimensions (SCDs) and multiple fact table designs| aligned with analytics best practices. Solid experience across data lifecycle management| including data lineage| profiling|mapping| integration| validation| cleansing| masking| subsetting| archiving| purging|virtualization| and metadata management. Implement and adhere to data quality and testing standards| supporting unit testing| systemintegration testing| and UAT| to ensure productionready data solutions. Perform SQL performance tuning| proactive monitoring| and root cause analysis of datapipeline and platform issues| driving timely and effective resolution. Actively participate in Agile delivery teams| con Data Integration Engineer